Magistral Medium 2506

Mistral chatreasoning Free

API ID: mistralai/magistral-medium-2506

Compare Calculate
Input Price
Free
/1M tokens
Output Price
Free
/1M tokens

About Magistral Medium 2506

Magistral is Mistral's first reasoning model. It is ideal for general purpose use requiring longer thought processing and better accuracy than with non-reasoning LLMs. From legal research and financial forecasting to software development and creative storytelling — this model solves multi-step challenges where transparency and precision are critical.

🏆
Price Ranking
#6 lowest price among 1240 Chat models — Top 20% cheapest!

Model Specifications

Context Length
41k
Max Output
—
Release Date
2025-06-08
Capabilities
chat reasoning
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)
🎉

This model is completely free!

No token costs - use it without worrying about API bills.

Estimate Token Usage

Mistral Model Lineup

Compare all models from Mistral to find the best fit

Model Input Output Context Capabilities
Magistral Medium 2506 Current Free Free 41k chat reasoning
Pixtral 12B Free Free 4k chat vision
Mistral 7B Instruct v0.3 Free Free 33k chat
Mistral 7B Instruct Free Free 33k chat
Mixtral 8x22B (base) Free Free 66k chat
Mixtral 8x22B (base) Free Free 66k chat
View All Mistral Models →

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Google Gemma 3n 4B
Google
Input: Free
Output: Free
Context: 33k
Alibaba Qwen Qwen2.5-VL 7B Instruct
Alibaba Qwen
Input: Free
Output: Free
Context: 33k
ByteDance Seedream 4.5
ByteDance
Input: Free
Output: Free
Context: 4k
Black Forest Labs FLUX.2 Max
Black Forest Labs
Input: Free
Output: Free
Context: 47k
Compare These Models

🚀 Quick Start

Get started with Magistral Medium 2506 API

OpenAI-compatible SDK 
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="mistralai/magistral-medium-2506",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

Continue Your Decision

Back to Mistral Add to Compare Calculate Cost